世界一流大学智能教育生态系统构建及演替

Construction and Succession of Intelligence Education Ecosystemin World-class Universities

构建智能教育生态系统是人工智能时代世界一流大学发展的新趋势。世界一流大学智能教育生态系统将沿着"无智能化-部分智能化-高度智能化-完全智能化"的进路展开生态演替。以美国密歇根大学智能教育生态系统为案例,该校构建起学习智能化、教学智能化、评估智能化、管理智能化和基础平台智能化五位一体的"智能+"教育新形态,呈现适应性、灵活性、实时性、协作性和集成性的特征。以世界一流大学智能教育生态系统的结构组成为观照点,可剖析该校智能教育生态系统的核心参与者、关键位置、重要链接和基本活动。我国建设世界一流大学智能教育生态系统,需要夯实世界一流大学智能教育创新基础、完善世界一流大学智能教育创新制度并树立世界一流大学智能教育创新理念。

Building an ecosystem of artificial intelligence in education is a new trend of the development of world-class universities in the era of artificial intelligence. The ecosystem of artificial intelligence in education of the world’s top universities will follow the path of "no intelligence-partial intelligence-highly intelligence-full intelligence" to carry out ecological succession.Taking the ecosystem of artificial intelligence in education of the University of Michigan as an example, the university has constructed a new form of "Intelligent + " education, which includes learning intellectualization, teaching intellectualization, evaluation intellectualization, management intellectualization and foundation platform intellectualization, showing the characteristics of adaptability, flexibility, real-time, collaboration and integration. Taking the structure and composition of the intelligent education ecosystem of the world-class university as the observation point, we can analyze the core participants, key positions, important links and basic activities of the intelligent education ecosystem of the university. To build a world-class university artificial intelligence in education ecosystem in China, we need to consolidate the innovation foundation of artificial intelligence in education of world-class university, improve the innovation system of artificial intelligence in education of world-class university and establish the innovation concept of artificial intelligence in education of world-class university.